# Senior Data Engineer
## About the Role
Interra Health is seeking a Senior Data Engineer to help design, implement, and manage its data platform. The role focuses on data modeling, database design, cloud data platforms, data governance, and data integration across a multi-cloud environment using AWS and Azure.
This is a hands-on, player-coach position for an experienced data engineer who can contribute directly to technical development while collaborating on architecture and strategy. You’ll work cross-functionally to build scalable, secure, accessible, and reliable data systems, while collaborating with global and offshore engineering teams to maintain implementation standards and promote knowledge sharing and continuous improvement.
## Key Responsibilities
### Architecture & Strategy
Design and implement scalable, secure, and high-performance data solutions across AWS and Azure.
Define and enforce data engineering standards, best practices, and architectural patterns.
Evaluate and integrate emerging technologies that enhance data platform capabilities.
Identify opportunities for AI-powered automation and implement solutions that improve data workflows.
Contribute to architectural solutions while remaining hands-on with development.
### Data Engineering & Infrastructure
Develop and manage ELT pipelines using AWS infrastructure, Azure infrastructure, Apache Airflow, Snowflake, and dbt.
Oversee the design, development, and optimization of a unified data platform across cloud environments.
Develop and maintain data models and schema designs for efficient data storage and retrieval.
Manage schema evolution from product data sources into Snowflake.
Optimize data processing workflows for performance, scalability, and reliability.
Serve as a subject matter expert for internal stakeholders and clients, providing technical guidance and addressing technical questions.
### Governance & Quality
Implement and maintain data governance, security, and compliance frameworks.
Ensure data quality, security, and integrity through validation, cleansing, testing, and monitoring.
Support reliable and secure data platform operations across cloud environments.
### Collaboration & Technical Leadership
Collaborate with cross-functional Data Engineering teams and global engineering resources.
Influence technical direction and strategy through technical expertise and recommendations.
Adapt communication to diverse audiences and build productive relationships with senior partners.
Manage multiple concurrent and changing priorities in a remote-first environment.
Balance synchronous collaboration with thoughtful asynchronous execution.
## Required Qualifications
4+ years of experience in data engineering.
Proven expertise with AWS, Azure, Snowflake, dbt, and Python.
Strong background in data warehouse architecture, data modeling, and performance tuning.
Proficiency with SQL, dbt, and Python for data transformation and orchestration.
Experience with cloud-native architecture, DevOps practices, and CI/CD pipelines across Azure, AWS, and GitHub.
Strong communication and collaboration skills.
Ability to influence technical direction and strategy.
Ability to independently own projects end to end with minimal oversight.
## Preferred Qualifications The source description does not specify additional preferred qualifications.
## Skills & Competencies
Data engineering
Data platform architecture
AWS
Azure
Snowflake dbt
Python
SQL
Apache Airflow
ELT pipelines
Data warehouse architecture
Data modeling
Database and schema design
Schema evolution
Data transformation and orchestration
Performance tuning
Cloud-native architecture
DevOps
CI/CD
GitHub
Data governance
Data security and compliance
Data quality and integrity
Data validation, cleansing, testing, and monitoring
AI-powered data workflow automation
Technical problem-solving
Architecture and technical strategy
Cross-functional collaboration
Technical leadership
Stakeholder communication
## Education & Experience
### Experience
4+ years of professional data engineering experience.
Experience with AWS, Azure, Snowflake, dbt, Python, SQL, cloud-native architecture, DevOps, and CI/CD as outlined above.
### Education
No specific educational requirement is stated.
## Work Arrangement & Schedule
Fully remote within the United States.
Remote-first working environment.
Core collaboration hours are 10:00 AM–3:00 PM Eastern Time.
Flexible scheduling outside core collaboration hours.
Approximately 5% travel for team meetings, customer visits, and industry events.
Role requires collaboration across Data Engineering teams and global/offshore engineering resources.
Ability to manage multiple concurrent and shifting priorities is required.
## Compensation & Benefits
### Compensation
Competitive compensation. Specific salary range is not provided.
### Benefits & Perks
Remote-first work environment.
One-time home office stipend.
Monthly Wi-Fi reimbursement.
Flexible scheduling.
Annual company-wide offsite.
Flexible PTO.
17 company holidays.
Paid sick leave.
Paid parental leave.
Multiple medical plan options with significant company premium contributions.
Dental coverage, including orthodontia.
Vision coverage for employees and families.
Company HSA/FSA contributions based on plan selection.
401(k) with company match.
## Compliance / Additional Information
Interra Health operates in a fast-paced, growth-oriented, PE-backed SaaS environment. The role requires collaboration across teams and the ability to operate effectively in a remote-first setting while contributing to scalable, secure, and reliable data infrastructure.